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ISMB
2000
14 years 11 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
ISCA
2010
IEEE
204views Hardware» more  ISCA 2010»
15 years 3 months ago
Energy proportional datacenter networks
Numerous studies have shown that datacenter computers rarely operate at full utilization, leading to a number of proposals for creating servers that are energy proportional with r...
Dennis Abts, Michael R. Marty, Philip M. Wells, Pe...
IPPS
1997
IEEE
15 years 2 months ago
Extensible Message Passing Application Development and Debugging with Python
We describe how we have parallelized Python, an interpreted object oriented scripting language, and used it to build an extensible message-passing molecular dynamics application f...
David M. Beazley, Peter S. Lomdahl
ICMLA
2009
14 years 7 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
ECOOPW
1999
Springer
15 years 2 months ago
Aspect-Oriented Process Engineering
This paper describes a novel application for Aspect-Oriented Programming (AOP). By combining the concepts of Business Process Management and AOP, we present an approach for enabli...
Simon G. Thompson, Brian Odgers